대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)

대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
권호 표지

Spatio-Temporal Pattern Recognition Neural Network를 이용한 전동 휠체어의 음성 제어에 관한 연구

A Study on the Voice-Controlled Wheelchair using Spatio-Temporal Pattern Recognition Neural Network

  • 백승우 (인하 대학교 전자 공학과) ;
  • 김승범 (인하 대학교 전자 공학과) ;
  • 권장우 (인하 대학교 전자 공학과) ;
  • 이응혁 (인하 대학교 전자 공학과) ;
  • 홍승홍 (인하 대학교 전자 공학과)
  • Baek, S.W. (Dept. of Electronic Eng., INHA UNIV.) ;
  • Kim, S.B. (Dept. of Electronic Eng., INHA UNIV.) ;
  • Kwon, J.W. (Dept. of Electronic Eng., INHA UNIV.) ;
  • Lee, E.H. (Dept. of Electronic Eng., INHA UNIV.) ;
  • Hong, S.H. (Dept. of Electronic Eng., INHA UNIV.)
  • 발행 : 1993.05.14
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, Korean speech was recognized by using spatio-temporal recognition neural network. The subjects of speech are numeric speech from zero to nine and basic command which might be used for motorized wheelchair developed it own Lab. Rabiner and Sambur's method of speech detection was used in determining end-point of speech, speech parameter was extracted by using LPC 16 order. The recognition rate was over 90%.

키워드